Corruption-Robust Offline Two-Player Zero-Sum Markov Games

4 March 2024

Papers citing "Corruption-Robust Offline Two-Player Zero-Sum Markov Games"

29 / 29 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 151 2 0 08 May 2025
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 84 17 0 04 Jun 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 87 47 0 13 May 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability Wenhao Zhan Baihe Huang Audrey Huang Nan Jiang Jason D. Lee OffRL 329 111 0 09 Feb 2022
When is Offline Two-Player Zero-Sum Markov Game Solvable? Qiwen Cui S. Du OffRL 64 29 0 10 Jan 2022
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Wei Jing Cheston Tan K. H. Low FedML AI4CE 55 79 0 26 Oct 2021
Game Redesign in No-regret Game Playing Yuzhe Ma Young Wu Xiaojin Zhu 50 10 0 18 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 87 117 0 19 Aug 2021
Bellman-consistent Pessimism for Offline Reinforcement Learning Tengyang Xie Ching-An Cheng Nan Jiang Paul Mineiro Alekh Agarwal OffRL LRM 131 276 0 13 Jun 2021
Decentralized Q-Learning in Zero-sum Markov Games M. O. Sayin Kai Zhang David S. Leslie Tamer Basar Asuman Ozdaglar 49 83 0 04 Jun 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad Banghua Zhu Cong Ma Jiantao Jiao Stuart J. Russell OffRL 198 286 0 22 Mar 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 80 27 0 10 Feb 2021
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 57 50 0 02 Sep 2020
Robust Linear Regression: Optimal Rates in Polynomial Time Ainesh Bakshi Adarsh Prasad 54 59 0 29 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 131 1,806 0 08 Jun 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 46 115 0 14 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 85 668 0 12 May 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 140 1,820 0 13 Dec 2019
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 49 280 0 12 Dec 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 99 340 0 30 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 77 354 0 25 May 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 130 2,028 0 08 Feb 2019
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang Wei Zhang Xiaofeng He H. Zha 46 263 0 04 Jul 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 57 289 0 07 Mar 2018
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 61 200 0 19 Dec 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 138 2,147 0 21 Aug 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 70 413 0 08 Mar 2017
Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li Yining Wang Aarti Singh Yevgeniy Vorobeychik AAML 66 343 0 29 Aug 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 243 14,893 1 21 Dec 2013